Yuhao Ding

According to our database, Yuhao Ding authored at least 39 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

The Landscape of Deterministic and Stochastic Optimal Control Problems: One-Shot Optimization Versus Dynamic Programming.

Jihun Kim, Yuhao Ding, Yingjie Bi, Javad Lavaei

IEEE Trans. Autom. Control., December, 2024

DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.

Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024

Safe and Balanced: A Framework for Constrained Multi-Objective Reinforcement Learning.

Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Alois Knoll, Ming Jin

CoRR, 2024

Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation.

Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Composable Dynamic Sparse Dataflow Architecture for Efficient Event-based Vision Processing on FPGA.

Yizhao Gao, Baoheng Zhang, Yuhao Ding, Hayden Kwok-Hay So

Proceedings of the 2024 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2024

Multi-Modal Flexible Headband for Sleep Monitoring.

Zaihao Wang, Yuhao Ding, Hongyu Chen, Zihao Wang, Chen Chen, Wei Chen

Proceedings of the 20th IEEE International Conference on Body Sensor Networks, 2024

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation.

Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Spatial Distributions of Cloud Occurrences in Terms of Volume Fraction as Inferred from CloudSat and CALIPSO.

Yuhao Ding, Qi Liu, Ping Lao, Meng Li, Yuan Li, Qun Zheng, Yanghui Peng

Remote. Sens., August, 2023

On the Absence of Spurious Local Trajectories in Time-Varying Nonconvex Optimization.

Salar Fattahi, Cédric Josz, Yuhao Ding, Reza Mohammadi-Ghazi, Javad Lavaei, Somayeh Sojoudi

IEEE Trans. Autom. Control., 2023

Time-Variation in Online Nonconvex Optimization Enables Escaping From Spurious Local Minima.

Yuhao Ding, Javad Lavaei, Murat Arcak

IEEE Trans. Autom. Control., 2023

Tempo Adaption in Non-stationary Reinforcement Learning.

Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi

CoRR, 2023

DyBit: Dynamic Bit-Precision Numbers for Efficient Quantized Neural Network Inference.

Jiajun Zhou, Jiajun Wu, Yizhao Gao, Yuhao Ding, Chaofan Tao, Boyu Li, Fengbin Tu, Kwang-Ting Cheng, Hayden Kwok-Hay So, Ngai Wong

CoRR, 2023

Scalable Primal-Dual Actor-Critic Method for Safe Multi-Agent RL with General Utilities.

Donghao Ying, Yunkai Zhang, Yuhao Ding, Alec Koppel, Javad Lavaei

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Tempo Adaptation in Non-stationary Reinforcement Learning.

Hyunin Lee, Yuhao Ding, Jongmin Lee, Ming Jin, Javad Lavaei, Somayeh Sojoudi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning-to-Learn to Guide Random Search: Derivative-Free Meta Blackbox Optimization on Manifold.

Bilgehan Sel, Ahmad Al-Tawaha, Yuhao Ding, Ruoxi Jia, Bo Ji, Javad Lavaei, Ming Jin

Proceedings of the Learning for Dynamics and Control Conference, 2023

A CMDP-within-online framework for Meta-Safe Reinforcement Learning.

Vanshaj Khattar, Yuhao Ding, Bilgehan Sel, Javad Lavaei, Ming Jin

Proceedings of the Eleventh International Conference on Learning Representations, 2023

SqueezeBlock: A Transparent Weight Compression Scheme for Deep Neural Networks.

Mo Song, Jiajun Wu, Yuhao Ding, Hayden Kwok-Hay So

Proceedings of the International Conference on Field Programmable Technology, 2023

Model-Platform Optimized Deep Neural Network Accelerator Generation through Mixed-Integer Geometric Programming.

Yuhao Ding, Jiajun Wu, Yizhao Gao, Maolin Wang, Hayden Kwok-Hay So

Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

MSD: Mixing Signed Digit Representations for Hardware-efficient DNN Acceleration on FPGA with Heterogeneous Resources.

Jiajun Wu, Jiajun Zhou, Yizhao Gao, Yuhao Ding, Ngai Wong, Hayden Kwok-Hay So

Proceedings of the 31st IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2023

Local Analysis of Entropy-Regularized Stochastic Soft-Max Policy Gradient Methods.

Yuhao Ding, Junzi Zhang, Javad Lavaei

Proceedings of the European Control Conference, 2023

Scalable Multi-Agent Reinforcement Learning with General Utilities.

Donghao Ying, Yuhao Ding, Alec Koppel, Javad Lavaei

Proceedings of the American Control Conference, 2023

Policy-Based Primal-Dual Methods for Convex Constrained Markov Decision Processes.

Donghao Ying, Mengzi Amy Guo, Yuhao Ding, Javad Lavaei, Zuo-Jun Max Shen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints.

Yuhao Ding, Javad Lavaei

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Non-stationary Risk-Sensitive Reinforcement Learning: Near-Optimal Dynamic Regret, Adaptive Detection, and Separation Design.

Yuhao Ding, Ming Jin, Javad Lavaei

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Dual Approach to Constrained Markov Decision Processes with Entropy Regularization.

Donghao Ying, Yuhao Ding, Javad Lavaei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

On the Global Optimum Convergence of Momentum-based Policy Gradient.

Yuhao Ding, Junzi Zhang, Javad Lavaei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

Rainrate Estimation from FY-4A Cloud Top Temperature for Mesoscale Convective Systems by Using Machine Learning Algorithm.

Ping Lao, Qi Liu, Yuhao Ding, Yu Wang, Yuan Li, Meng Li

Remote. Sens., 2021

Beyond Exact Gradients: Convergence of Stochastic Soft-Max Policy Gradient Methods with Entropy Regularization.

Yuhao Ding, Junzi Zhang, Javad Lavaei

CoRR, 2021

On the Global Convergence of Momentum-based Policy Gradient.

Yuhao Ding, Junzi Zhang, Javad Lavaei

CoRR, 2021

Ontology-Enhanced Slot Filling.

Yuhao Ding, Yik-Cheung Tam

CoRR, 2021

Structured Projection-free Online Convex Optimization with Multi-point Bandit Feedback.

Yuhao Ding, Javad Lavaei

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Escaping Spurious Local Minimum Trajectories in Online Time-varying Nonconvex Optimization.

Yuhao Ding, Javad Lavaei, Murat Arcak

Proceedings of the 2021 American Control Conference, 2021

Analysis of Spurious Local Solutions of Optimal Control Problems: One-Shot Optimization Versus Dynamic Programming.

Yuhao Ding, Yingjie Bi, Javad Lavaei

Proceedings of the 2021 American Control Conference, 2021

2020

CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks.

Runbin Shi, Peiyan Dong, Tong Geng, Yuhao Ding, Xiaolong Ma, Hayden Kwok-Hay So, Martin C. Herbordt, Ang Li, Yanzhi Wang

Proceedings of the ICS '20: 2020 International Conference on Supercomputing, 2020

FTDL: An FPGA-tailored Architecture for Deep Learning Systems.

Runbin Shi, Yuhao Ding, Xuechao Wei, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding

Proceedings of the FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2020

FTDL: A Tailored FPGA-Overlay for Deep Learning with High Scalability.

Runbin Shi, Yuhao Ding, Xuechao Wei, He Li, Hang Liu, Hayden Kwok-Hay So, Caiwen Ding

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2018

Analysis of cars' commuting behavior under license plate restriction policy: a case study in Hangzhou, China.

Wenbin Yao, Yuhao Ding, Fangming Xu, Sheng Jin

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Optimal input design for affine model discrimination with applications in intention-aware vehicles.

Yuhao Ding, Farshad Harirchi, Sze Zheng Yong, Emil Jacobsen, Necmiye Ozay

Proceedings of the 9th ACM/IEEE International Conference on Cyber-Physical Systems, 2018

Input Design for Nonlinear Model Discrimination via Affine Abstraction.

Kanishka Raj Singh, Yuhao Ding, Necmiye Ozay, Sze Zheng Yong

Proceedings of the 6th IFAC Conference on Analysis and Design of Hybrid Systems, 2018